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Tissue Imaging at Atmospheric Pressure Using Desorption Electrospray Ionization (DESI) Mass Spectrometry
Abstract
Images of the masses: Two-dimensional molecular imaging of intact rat brain tissue under ambient conditions was achieved by using the mass spectrometric technique of desorption electrospray ionization (DESI). The distributions of specific lipids, such as sulfatide 24:1, reveal distinctive subanatomical features of the rat brain (cc=corpus callosum; aca=anterior part of anterior commissure) with spatial resolution of less than 500 μm.
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Cites
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Cited by
Metabolomics: beyond biomarkers and towards mechanisms
Johnson, C. H., Ivanisevic, J., & Siuzdak, G. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.25 · Cited by 2,829
Kompauer, M., Heiles, S., & Spengler, B. (2017) · Nature Methods · doi:10.1038/nmeth.4071 · Cited by 600
Van Berkel, G. J., Pasilis, S. P., & Ovchinnikova, O. (2008) · Journal of Mass Spectrometry · doi:10.1002/jms.1440 · Cited by 299
Mass spectrometry imaging for drug distribution studies
Prideaux, B., & Stoeckli, M. (2012) · Journal of Proteomics · doi:10.1016/j.jprot.2012.07.028 · Cited by 279
Zhu, Y., Dou, M., Piehowski, P. D., Liang, Y., Wang, F., Chu, R. K., Chrisler, W. B., Smith, J. N., Schwarz, K. C., Shen, Y., et al. (2018) · Molecular & Cellular Proteomics · doi:10.1074/mcp.tir118.000686 · Cited by 147
Metadata
- Authors
- Wiseman, J. M., Ifa, D. R., Song, Q., & Cooks, R. G.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2006-10-30
- Volume
- 45
- Issue
- 43
- Pages
- 7188-7192
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2080293390
- Cited by
- 626
- References
- 1
- FWCI
- 14.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wiseman, J. M., Ifa, D. R., Song, Q., & Cooks, R. G. (2006). Tissue Imaging at Atmospheric Pressure Using Desorption Electrospray Ionization (DESI) Mass Spectrometry. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200602449
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.